LTX Video Model Explained: Lightricks Architecture, Open Weights and Hardware
LTX from Lightricks explained: diffusion transformer video architecture, open weights license, resolution and length limits, and the GPU needed to run it locally.
Xiaomi MiMo V2.6 Pro Explained: Open Weights, Architecture and Benchmarks
Xiaomi MiMo V2.6 Pro open weights explained: what is disclosed on architecture and training, Artificial Analysis index score, license, and local deployment.
DeepSeek V4.1 Flash Explained: MoE Architecture, KV Cache, Benchmarks
DeepSeek V4.1 Flash explained: 552B MoE with small active parameters, MIT license, KV-cache savings, benchmarks, and how to self-host or call it by API.
Mistral Large 3 Explained: Architecture & Benchmarks (2026)
Mistral Large 3 explained: the 675B/41B Apache-2.0 sparse MoE with a 262K context window - architecture, training, benchmarks, licensing, self-hosting VRAM, pricing and honest limits in 2026.
Kimi K2 Explained: Architecture, Training, and Benchmarks (2026)
A deep dive on Moonshot AI Kimi K2: the Mixture-of-Experts architecture, training recipe, agentic and coding benchmarks, open weights, license, and how it compares to peers.
DeepSeek V4 Explained: Architecture, Sparse Attention, Benchmarks, and Deployment (2026)
DeepSeek V4 explained: the 1.6T-parameter MoE architecture, Compressed Sparse Attention, 1M-token context, SWE-bench and reasoning benchmarks, pricing, and how to deploy it.
DeepSeek V4 Explained: Architecture, Sparse Attention, Benchmarks, and Deployment (2026)
DeepSeek V4 explained: the 1.6T-parameter MoE architecture, Compressed Sparse Attention, 1M-token context, SWE-bench and reasoning benchmarks, pricing, and how to deploy it.
Qwen3.6 Explained: Hybrid MoE Architecture, 1M Context, and Benchmarks
Qwen3.6 explained: Alibaba's hybrid Gated DeltaNet MoE flagship, the open-weight 27B and 35B-A3B variants, 1M-token context, benchmarks, license, pricing, and how to deploy it.
Llama 4 Explained: Scout, Maverick, and Behemoth (MoE)
Llama 4 explained: Meta's Scout, Maverick, and Behemoth mixture-of-experts models - architecture, context window, benchmarks, license, and how to deploy them.